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  • The application domain of chemical reactions and reactors constitutes one of the backbones for interdisciplinary collaboration. In fact, the optimization of industrial chemical processes has drawn attention in recent years. In this paper, we have used a new method of artificial intelligence, namely the evolutionary algorithm SOW (self-organizing migrating algorithm), for static optimization of a continuous stirred tank reactor (CSTR), for the purpose of improve its behavior in the uncontrolled state and predictive control. The optimizations and control of the reactor have been performed in several ways, each one for a different set of reactor parameters or different cost function. The optimized reactor was used in a simulation with prediction control by evolutionary algorithms and the results are presented in graphs.
  • The application domain of chemical reactions and reactors constitutes one of the backbones for interdisciplinary collaboration. In fact, the optimization of industrial chemical processes has drawn attention in recent years. In this paper, we have used a new method of artificial intelligence, namely the evolutionary algorithm SOW (self-organizing migrating algorithm), for static optimization of a continuous stirred tank reactor (CSTR), for the purpose of improve its behavior in the uncontrolled state and predictive control. The optimizations and control of the reactor have been performed in several ways, each one for a different set of reactor parameters or different cost function. The optimized reactor was used in a simulation with prediction control by evolutionary algorithms and the results are presented in graphs. (en)
Title
  • Using method of artificial intelligence to optimise and control chemical reactor
  • Using method of artificial intelligence to optimise and control chemical reactor (en)
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  • Using method of artificial intelligence to optimise and control chemical reactor
  • Using method of artificial intelligence to optimise and control chemical reactor (en)
skos:notation
  • RIV/70883521:28140/09:43865765!RIV12-MSM-28140___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • V
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 347992
http://linked.open...ai/riv/idVysledku
  • RIV/70883521:28140/09:43865765
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • chemical process, optimization, artificial intelligence, continuos stirered tank reactor (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7A4D49435D2A]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 15th International Conference on Soft Computing MENDEL 2009
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zelinka, Ivan
  • Dao, Tran Trong
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000273029500005
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-3884-2
http://localhost/t...ganizacniJednotka
  • 28140
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